Design and Structure of The Juman++ Morphological Analyzer Toolkit
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Daisuke Kawahara | Sadao Kurohashi | Arseny Tolmachev | S. Kurohashi | Daisuke Kawahara | A. Tolmachev
[1] Y. Shafranovich. This RFC documents the format used for Comma-Separated Values (CSV) files and registers the associated MIME type "text/csv". , 2005 .
[2] Graham Neubig,et al. Pointwise Prediction for Robust, Adaptable Japanese Morphological Analysis , 2011, ACL.
[3] Yuji Matsumoto,et al. Applying Conditional Random Fields to Japanese Morphological Analysis , 2004, EMNLP.
[4] Qun Liu,et al. Word Lattice Reranking for Chinese Word Segmentation and Part-of-Speech Tagging , 2008, COLING.
[5] Daisuke Kawahara,et al. Morphological Analysis for Unsegmented Languages using Recurrent Neural Network Language Model , 2015, EMNLP.
[6] Hitoshi Isahara,et al. An Error-Driven Word-Character Hybrid Model for Joint Chinese Word Segmentation and POS Tagging , 2009, ACL/IJCNLP.
[7] Hiroya Takamura,et al. An Efficient Algorithm for Unsupervised Word Segmentation with Branching Entropy and MDL , 2010, EMNLP.
[8] Yasuharu Den,et al. A Proper Approach to Japanese Morphological Analysis: Dictionary, Model, and Evaluation , 2008, LREC.
[9] Naonori Ueda,et al. Bayesian Unsupervised Word Segmentation with Nested Pitman-Yor Language Modeling , 2009, ACL.
[10] Kugatsu Sadamitsu,et al. Morphological Analysis for Japanese Noisy Text based on Character-level and Word-level Normalization , 2014, COLING.
[11] Daisuke Kawahara,et al. Juman++: A Morphological Analysis Toolkit for Scriptio Continua , 2018, EMNLP.
[12] Yuji Matsumoto,et al. Japanese Morphological Analysis System ChaSen version 2.0 Manual , 1999 .
[13] Masaru Kitsuregawa,et al. Efficient Word Lattice Generation for Joint Word Segmentation and POS Tagging in Japanese , 2013, IJCNLP.
[14] Mamoru Komachi,et al. Long Short-Term Memory for Japanese Word Segmentation , 2017, PACLIC.
[15] Taku Kudo,et al. SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing , 2018, EMNLP.
[16] Daisuke Kawahara,et al. Shrinking Japanese Morphological Analyzers With Neural Networks and Semi-supervised Learning , 2019, NAACL-HLT.
[17] Daichi Mochihashi,et al. Inducing Word and Part-of-Speech with Pitman-Yor Hidden Semi-Markov Models , 2015, ACL.
[18] Manabu Okumura,et al. A Simple Approach to Unknown Word Processing in Japanese Morphological Analysis , 2013, IJCNLP.
[19] Xiaoqing Zheng,et al. Deep Learning for Chinese Word Segmentation and POS Tagging , 2013, EMNLP.
[20] Yuji Matsumoto,et al. Sudachi: a Japanese Tokenizer for Business , 2018, LREC.
[21] Daisuke Kawahara,et al. Automatically Acquired Lexical Knowledge Improves Japanese Joint Morphological and Dependency Analysis , 2017, IWPT.